Bibliographic record
Abstract
Introduction It is impossible to speak of legal education over the course of Islamic history without having to deal with issues of politics and political legitimacy; hence the conjunction of both realms within the confines of this chapter. Yet, during the first two or three centuries, education was largely and deliberately disconnected from politics, being limited to private scholarship which the rulers sought to influence without much success. The story of this chapter is that of the transformation of legal scholarship from a highly independent enterprise to a markedly subordinate system that came to serve the ruler and his administration. However, a significant aspect of this story must not escape emphasis, namely, that despite this eventual subordination the content of the law and its application remained uncompromised by any political accommodation. In fact, it was the ruler who – from the beginning of Islam until the middle of the nineteenth century – consistently had to bow to the jural wishes of the Sharīʿa and its representatives in governing the populace. As a moral force, and without the coercive tools of a state, the law stood supreme for over a millennium. In mapping out the history of legal education in Islam, one must begin with the study circle ( ḥalaqa ; variant: ḥalqa ), the essential unit of legal scholarship until the early nineteenth century. But the ḥalaqa , as an eminently educational institution, did not remain intact for long.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.025 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".